SERVICE SYSTEMS ANALYTICS
This course provides a broad exploration of large-scale service systems using data analytics, stochastic models, optimization and simulation techniques. In particular, through the data collection, preparation, visualization and analysis, students will understand the demand and service processes. Through the optimization and stochastic models and simulations, students will formulate decisions problems to determine optimal capacity (workforce and other resources) and resource allocations to meet the in the long-term and short-term horizons. Applying these modeling and analytical techniques and tools, students will conduct case studies in modern service systems such as healthcare, on-demand service systems, transportation and recreational services.
Prerequisites & course information
Short Title: SERVICE SYS ANALYTICS Department: Comp Appl Math Operations Rsch Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): CMOR 360 Corequisite: CMOR 350
Sources
- Course catalogue ↗2026–2027